Aside

Alex photo

Contact

Skills

(Bio)statistical analyses. Recent applications in medical data, particularly cystic fibrosis.

Experienced in R. Some exposure to D3 (javascript), MATLAB, python, Java, C++ and LaTeX.

Interested in data visualization and transparent, reproducible publishing.

Main

Alex Paynter

Experience

Biostatistician II

Seattle Children’s Research Institute

Seattle, WA

2019- current

Research group focused on large multicenter studies in cystic fibrosis. My work focused on long-term post-approval studies of CFTR modulators, and assessing the efficacy of home spirometry devices.

Research assistant

University of Washington Cancer Vaccine Institute

Seattle, WA

2018- 2019

Investigated associations between protein sequences in the human microbiome and leukocyte responses using lab data.

Statistical consultant

University of Washington Statistical Consulting

Seattle, WA

2018- 2018

Statistical consultations with clients from a range departments (e.g. engineering, meta-analysis, forestry, neuroscience).

Education

University of Washington

M.S. in Biostatistics

Seattle, WA

2019

Thesis: Tuning parameter selection for a penalized maximum likelihood estimator of species richness.

University of Washington

B.S. in Mathematics

Seattle, WA

2016

Minor in applied math, coursework in computer science and computational neuroscience.

More information

The sidebar links are the best way to obtain more information about me. Scientific publications are available with the ORCID-ID, and some code is available on GitHub. For references or any other questions, please contact me at .